Improvement of Image Compression by Changing the Mathematical Equation Style in Communication Systems
Compression is an essential process to reduce the amount of information by reducing the number of bits; this process is necessary for uploading images, audio, video, storage services, and TV transmission. In this paper, image compressions with losses from this action will be shown for some common pa...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2022-01-01
|
| Series: | International Journal of Digital Multimedia Broadcasting |
| Online Access: | http://dx.doi.org/10.1155/2022/3231533 |
| _version_ | 1798018116010115072 |
|---|---|
| author | Riyadh M. Al-Saleem Yasameen A. Ghani Shihab A. Shawkat |
| author_facet | Riyadh M. Al-Saleem Yasameen A. Ghani Shihab A. Shawkat |
| author_sort | Riyadh M. Al-Saleem |
| collection | DOAJ |
| description | Compression is an essential process to reduce the amount of information by reducing the number of bits; this process is necessary for uploading images, audio, video, storage services, and TV transmission. In this paper, image compressions with losses from this action will be shown for some common patterns. The compression process uses different mathematical equations that have different methods and efficiencies, so some common mathematical methods for each style are presented taking into consideration the pros and cons of each method. In this paper, it is demonstrated that there is a quality improvement by applying anisotropic interpolation to edge enhancement for its ability to satisfy the dispersed data of the propagation process, which leads to faster compression due to concern for optimum quality rather than fast algorithms. The test images for these patterns showed a discrepancy in the image resolution when the compression coefficient was increased, as the results using three types of image compression methods proved a clear superiority when using “partial differential equations (PDE)”. |
| first_indexed | 2024-04-11T16:18:29Z |
| format | Article |
| id | doaj.art-33111b8d9e9949f99b9bd8923cc9ace4 |
| institution | Directory Open Access Journal |
| issn | 1687-7586 |
| language | English |
| last_indexed | 2024-04-11T16:18:29Z |
| publishDate | 2022-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | International Journal of Digital Multimedia Broadcasting |
| spelling | doaj.art-33111b8d9e9949f99b9bd8923cc9ace42022-12-22T04:14:26ZengHindawi LimitedInternational Journal of Digital Multimedia Broadcasting1687-75862022-01-01202210.1155/2022/3231533Improvement of Image Compression by Changing the Mathematical Equation Style in Communication SystemsRiyadh M. Al-Saleem0Yasameen A. Ghani1Shihab A. Shawkat2College of EngineeringComputer Engineering DepartmentDepartment of Quality Assurance and Academic PerformanceCompression is an essential process to reduce the amount of information by reducing the number of bits; this process is necessary for uploading images, audio, video, storage services, and TV transmission. In this paper, image compressions with losses from this action will be shown for some common patterns. The compression process uses different mathematical equations that have different methods and efficiencies, so some common mathematical methods for each style are presented taking into consideration the pros and cons of each method. In this paper, it is demonstrated that there is a quality improvement by applying anisotropic interpolation to edge enhancement for its ability to satisfy the dispersed data of the propagation process, which leads to faster compression due to concern for optimum quality rather than fast algorithms. The test images for these patterns showed a discrepancy in the image resolution when the compression coefficient was increased, as the results using three types of image compression methods proved a clear superiority when using “partial differential equations (PDE)”.http://dx.doi.org/10.1155/2022/3231533 |
| spellingShingle | Riyadh M. Al-Saleem Yasameen A. Ghani Shihab A. Shawkat Improvement of Image Compression by Changing the Mathematical Equation Style in Communication Systems International Journal of Digital Multimedia Broadcasting |
| title | Improvement of Image Compression by Changing the Mathematical Equation Style in Communication Systems |
| title_full | Improvement of Image Compression by Changing the Mathematical Equation Style in Communication Systems |
| title_fullStr | Improvement of Image Compression by Changing the Mathematical Equation Style in Communication Systems |
| title_full_unstemmed | Improvement of Image Compression by Changing the Mathematical Equation Style in Communication Systems |
| title_short | Improvement of Image Compression by Changing the Mathematical Equation Style in Communication Systems |
| title_sort | improvement of image compression by changing the mathematical equation style in communication systems |
| url | http://dx.doi.org/10.1155/2022/3231533 |
| work_keys_str_mv | AT riyadhmalsaleem improvementofimagecompressionbychangingthemathematicalequationstyleincommunicationsystems AT yasameenaghani improvementofimagecompressionbychangingthemathematicalequationstyleincommunicationsystems AT shihabashawkat improvementofimagecompressionbychangingthemathematicalequationstyleincommunicationsystems |